Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-16111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-16111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Dec 2022
Research article |
| 22 Dec 2022
| 22 Dec 2022
Record-breaking statistics detect islands of cooling in a sea of warming
Elisa T. Sena
Multidisciplinary Department, Federal University of São Paulo,
São Paulo, Brazil
Department of Earth and Planetary Sciences, Weizmann Institute of
Sciences, Rehovot, Israel
Orit Altaratz
Department of Earth and Planetary Sciences, Weizmann Institute of
Sciences, Rehovot, Israel
Alexander B. Kostinski
Department of Physics, Michigan Technological University, Houghton, MI,
USA
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Cited articles
Alexander, L. V.: Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond, Weather and Climate Extremes, 11, 4–16,
https://doi.org/10.1016/j.wace.2015.10.007, 2016.
Alexander, M. A., Scott, J. D., Friedland, K. D., Mills, K. E., Nye, J. A.,
Pershing, A. J., Thomas, A. C., and Carmack, E. C.: Projected sea surface
temperatures over the 21st century: Changes in the mean, variability and
extremes for large marine ecosystem regions of Northern Oceans, Elem.
Sci. Anth., 6, 9, https://doi.org/10.1525/elementa.191, 2018.
Anderson, A. and Kostinski, A.: Reversible record breaking and variability:
Temperature distributions across the globe, J. Appl. Meteorol. Clim., 49, 1681–1691, https://doi.org/10.1175/2010JAMC2407.1, 2010.
Anderson, A. and Kostinski, A.: Evolution and distribution of
record-breaking high and low monthly mean temperatures,
J. Appl. Meteorol. Clim., 50, 1859–1871, https://doi.org/10.1175/JAMC-D-10-05025.1, 2011.
Anderson, A. and Kostinski, A.: Temperature variability and early clustering
of record-breaking events, Theor. Appl. Climatol., 124,
825–833, https://doi.org/10.1007/s00704-015-1455-5, 2016.
Armour, K. C., Marshall, J., Scott, J. R., Donohoe, A., and Newsom, E. R.:
Southern Ocean warming delayed by circumpolar upwelling and equatorward
transport, Nat. Geosci., 9, 549–554,
https://doi.org/10.1038/ngeo2731,2016.
Arnold, B. C., Balakrishnan, N., and Nagaraja, H. N.: Records, 768, John
Wiley & Sons, ISBN 0-471-08108-6, 2011.
Benestad, R. E.: Record-values, nonstationarity tests and extreme value
distributions, Global Planet. Change, 44, 11–26,
https://doi.org/10.1016/j.gloplacha.2004.06.002, 2004.
Chan, D., Kent, E. C., Berry, D. I., and Huybers, P.: Correcting datasets
leads to more homogeneous early-twentieth-century sea surface warming,
Nature, 571, 393–397, https://doi.org/10.1038/s41586-019-1349-2, 2019.
Chemke, R., Zanna, L., and Polvani, L. M.: Identifying a human signal in the
North Atlantic warming hole, Nat. Commun., 11, 1–7,
https://doi.org/10.1038/s41467-020-15285-x, 2020.
Cheng, L., Trenberth, K. E., Fasullo, J., Boyer, T., Abraham, J., and Zhu,
J.: Improved estimates of ocean heat content from 1960 to 2015, Sci.
Adv., 3, e1601545, https://doi.org/10.1126/sciadv.1601545, 2017.
Dangendorf, S., Marcos, M., Wöppelmann, G., Conrad, C. P., Frederikse,
T., and Riva, R.: Reassessment of 20th century global mean sea level rise,
P. Natl. Acad. Sci. USA, 114, 5946–5951,
https://doi.org/10.1073/pnas.1616007114, 2017.
Deser, C., Phillips, A. S., and Alexander, M. A.: Twentieth century tropical
sea surface temperature trends revisited, Geophys. Res. Lett.,
37, https://doi.org/10.1029/2010GL043321, 2010.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Foster, F. G. and Stuart, A.: Distribution-Free Tests in Time-Series Based
on the Breaking of Records Division of Research Techniques, London School of
Economics, J. Roy. Stat. Soc. B Met., 16, 1–13,
https://doi.org/10.1111/j.2517-6161.1954.tb00143.x, 1954.
Frölicher, T. L., Fischer, E. M., and Gruber, N.: Marine heatwaves under
global warming, Nature, 560, 360–364, https://doi.org/10.1038/s41586-018-0383-9, 2018.
Ghil, M., Allen, M. R., Dettinger, M. D., Ide, K., Kondrashov, D., Mann, M.
E., Robertson, A. W., Saunders, A., Tian, Y., Varadi, F., and Yiou, P.:
Advanced spectral methods for climatic time series, Rev. Geophys.,
40, 3-1–3-41, https://doi.org/10.1029/2000RG000092, 2002.
Glick, N.: Breaking records and breaking boards, Am. Math. Mon., 85, 2–26, https://doi.org/10.1080/00029890.1978.11994501, 1978.
Glienke, S., Kostinski, A. B., Shaw, R. A., Larsen, M. L., Fugal, J. P.,
Schlenczek, O., and Borrmann, S.: Holographic observations of
centimeter-scale nonuniformities within marine stratocumulus clouds, J. Atmos. Sci., 77, 499–512, https://doi.org/10.1175/JAS-D-19-0164.1, 2020.
Gluhovsky, A. and Agee, E.: On the analysis of atmospheric and climatic time
series, J. Appl. Meteorol. Clim., 46, 1125–1129,
https://doi.org/10.1175/JAM2512.1, 2007.
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global Surface Temperature
Change, Rev. Geophys., 48, RG4004, https://doi.org/10.1029/2010rg000345, 2010.
Hartmann, D. L., Tank, A. M. K., Rusticucci, M., Alexander, L. V.,
Brönnimann, S., Charabi, Y. A. R., Dentener, F. J., Dlugokencky, E. J.,
Easterling, D. R., Kaplan, A., and Soden, B. J.: Observations: atmosphere and
surface, in: Climate change 2013 the physical science basis: Working group I
contribution to the fifth assessment report of the intergovernmental panel
on climate change, Cambridge University Press, 159–254, ISBN 978-1-107-05799-1, 2013.
Haumann, F. A., Gruber, N., and Münnich, M.: Sea-ice induced Southern
Ocean subsurface warming and surface cooling in a warming climate, AGU
Advances, 1, e2019AV000132, https://doi.org/10.1029/2019AV000132, 2020.
Huang, B., Thorne, P. W., Smith, T. M., Liu, W., Lawrimore, J., Banzon, V.
F., Zhang, H. M., Peterson, T. C., and Menne, M.: Further exploring and
quantifying uncertainties for extended reconstructed sea surface temperature
(ERSST) version 4 (v4), J. Climate, 29, 3119–3142,
https://doi.org/10.1175/JCLI-D-15-0430.1, 2016.
Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore,
J. H., Menne, M. J., Smith, T. M., Vose, R. S., and Zhang, H. M.: Extended
reconstructed sea surface temperature, version 5 (ERSSTv5): upgrades,
validations, and intercomparisons, J. Climate, 30, 8179–8205,
https://doi.org/10.1175/JCLI-D-16-0836.1, 2017a.
Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore,
J. H., Menne, M. J., Smith, T. M., Vose, R. S., and Zhang, H.-M.: NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5, NOAA National Centers for Environmental Information [data set], https://doi.org/10.7289/V5T72FNM, 2017b.
Jordan, C.: Calculus of Finite Differences, Budapest (1939), Repr. Chelsea
Publ. Co., Inc., New York, ISBN 978-0-828-40033-6, 1950.
Josey, S. A., Hirschi, J. J. M., Sinha, B., Duchez, A., Grist, J. P., and
Marsh, R.: The recent Atlantic cold anomaly: Causes, consequences, and
related phenomena, Annu. Rev. Mar. Sci., 10, 475–501,
https://doi.org/10.1146/annurev-marine-121916-063102, 2018.
Keil, P., Mauritsen, T., Jungclaus, J., Hedemann, C., Olonscheck, D., and
Ghosh, R.: Multiple drivers of the North Atlantic warming hole, Nat.
Clim. Change, 10, 667–671, https://doi.org/10.1038/s41558-020-0819-8, 2020.
Kostinski, A. and Anderson, A.: Spatial patterns of record-setting
temperatures, J. Environ. Stat., 6, 1–13, 2014.
Krug, J. and Jain, K.: Breaking records in the evolutionary race, Physica A, 358, 1–9, https://doi.org/10.1016/j.physa.2005.06.002, 2005.
Laufkötter, C., Zscheischler, J., and Frölicher, T. L.: High-impact
marine heatwaves attributable to human-induced global warming, Science,
369, 1621–1625, https://doi.org/10.1126/science.aba0690, 2020.
Lehmann, J., Coumou, D., and Frieler, K.: Increased record-breaking
precipitation events under global warming, Climatic Change, 132, 501–515,
https://doi.org/10.1007/s10584-015-1434-y, 2015.
Lehmann, J., Mempel, F., and Coumou, D.: Increased occurrence of record-wet
and record-dry months reflect changes in mean rainfall, Geophys. Res. Lett., 45, 13–468, https://doi.org/10.1029/2018GL079439, 2018.
Llovel, W., Purkey, S., Meyssignac, B., Blazquez, A., Kolodziejczyk, N., and
Bamber, J.: Global ocean freshening, ocean mass increase and global mean sea
level rise over 2005–2015, Sci. Rep., 9, 17717,
https://doi.org/10.1038/s41598-019-54239-2, 2019.
IPCC: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E.,
Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2391 pp., 2021.
Meehl, G. A., Senior, C. A., Eyring, V., Flato, G., Lamarque, J. F.,
Stouffer, R. J., Taylor, K. E., and Schlund, M.: Context for interpreting
equilibrium climate sensitivity and transient climate response from the
CMIP6 Earth system models, Sci. Adv., 6, eaba1981,
https://doi.org/10.1126/sciadv.aba1981, 2020.
Myhre, G., Alterskjær, K., Stjern, C. W., Hodnebrog, Ø., Marelle, L.,
Samset, B. H., Sillmann, J., Schaller, N., Fischer, E., Schulz, M., and
Stohl, A.: Frequency of extreme precipitation increases extensively with
event rareness under global warming, Sci. Rep., 9, 16063,
https://doi.org/10.1038/s41598-019-52277-4, 2019.
Oliver, E. C., Donat, M. G., Burrows, M. T., Moore, P. J., Smale, D. A.,
Alexander, L. V., Benthuysen, J. A., Feng, M., Gupta, A. S., Hobday, A. J., and Holbrook, N. J.: Longer and more frequent marine heatwaves over the past
century, Nat. Commun., 9, 1–12, https://doi.org/10.1038/s41467-018-03732-9, 2018.
Pendergrass, A. G. and Hartmann, D. L.: Changes in the Distribution of Rain
Frequency and Intensity in Response to Global Warming, J. Climate, 27,
8372–8383, https://doi.org/10.1175/jcli-d-14-00183.1, 2014.
Rahmstorf, S., Box, J. E., Feulner, G., Mann, M. E., Robinson, A.,
Rutherford, S., and Schaffernicht, E. J.: Exceptional twentieth-century
slowdown in Atlantic Ocean overturning circulation, Nat. Clim. Change,
5, 475–480, https://doi.org/10.1038/nclimate2554, 2015.
Redner, S. and Petersen, M. R.: Role of global warming on the statistics of
record-breaking temperatures, Phys. Rev. E, 74, 061114,
https://doi.org/10.1103/PhysRevE.74.061114, 2006.
Shcherbakov, R., Davidsen, J., and Tiampo, K. F.: Record-breaking avalanches
in driven threshold systems, Phys. Rev. E, 87, 052811,
https://doi.org/10.1103/PhysRevE.87.052811, 2013.
Van Aalsburg, J., Newman, W. I., Turcotte, D. L., and Rundle, J. B.:
Record-breaking earthquakes, B. Seismol. Soc. Am., 100, 1800–1805, https://doi.org/10.1785/0120090015, 2010.
Vogel, R. M., Zafirakou-Koulouris, A., and Matalas, N. C.: Frequency of
record-breaking floods in the United States, Water Resour. Res.,
37, 1723–1731, https://doi.org/10.1029/2001WR900019, 2001.
Watson, C., White, N., Church, J., King, M. A., Burgette, R. J., and Legresy,
B.: Unabated global mean sea-level rise over the satellite altimeter era,
Nat. Clim. Change, 5, 565–568, https://doi.org/10.1038/nclimate2635, 2015.
Wergen, G., Bogner, M., and Krug, J.: Record statistics for biased random
walks, with an application to financial data, Phys. Rev. E, 83,
051109, https://doi.org/10.1103/PhysRevE.83.051109, 2011.
Wilcox, R. R.: Applying contemporary statistical techniques, Elsevier, ISBN 978-0-127-51541-0, 2003.
Wuebbles, D. J., Fahey, D. W., and Hibbard, K. A.: Climate science special report: fourth national climate assessment, volume I, U.S. Global Change Research Program, Washington, DC, USA, 470 pp., https://doi.org/10.7930/J0J964J6, 2017.
Yoder, M. R., Turcotte, D. L., and Rundle, J. B.: Record-breaking earthquake intervals in a global catalogue and an aftershock sequence, Nonlin. Processes Geophys., 17, 169–176, https://doi.org/10.5194/npg-17-169-2010, 2010.
Yukimoto, S., Kawai, H., Koshiro, T., Oshima, N., Yoshida, K., Urakawa, S.,
Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., and Yabu, S.: The
Meteorological Research Institute Earth System Model version 2.0, MRI-ESM2.0: Description and basic evaluation of the physical component, J. Meteorol. Soc. Jpn. Ser. II, 97, 931–965, https://doi.org/10.2151/jmsj.2019-051, 2019a.
Yukimoto, S., Koshiro, T., Kawai, H., Oshima, N., Yoshida, K., Urakawa, S., Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., Yoshimura, H., Shindo, E., Mizuta, R., Ishii, M., Obata, A., and Adachi, Y.: MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP piControl, Version 20220808, Earth System Grid Federation [data set], https://doi.org/10.22033/ESGF/CMIP6.6900, 2019b.
Yukimoto, S., Koshiro, T., Kawai, H., Oshima, N., Yoshida, K., Urakawa, S., Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., Yoshimura, H., Shindo, E., Mizuta, R., Ishii, M., Obata, A., and Adachi, Y.: MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP historical, Version 20220808, Earth System Grid Federation [data set], https://doi.org/10.22033/ESGF/CMIP6.6842, 2019c.
Yukimoto, S., Koshiro, T., Kawai, H., Oshima, N., Yoshida, K., Urakawa, S., Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., Yoshimura, H., Shindo, E., Mizuta, R., Ishii, M., Obata, A., and Adachi, Y.: MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP ssp245, Version 20220808, Earth System Grid Federation [data set], https://doi.org/10.22033/ESGF/CMIP6.6910, 2019d.
Zelinka, M. D., Myers, T. A., McCoy, D. T., Po-Chedley, S., Caldwell, P. M.,
Ceppi, P., Klein, S. A., and Taylor, K. E.: Causes of higher climate
sensitivity in CMIP6 models, Geophys. Res. Lett., 47,
e2019GL085782, https://doi.org/10.1029/2019GL085782, 2020.
Short summary
We used record-breaking statistics together with spatial information to create record-breaking SST maps. The maps reveal warming patterns in the overwhelming majority of the ocean and coherent islands of cooling, where low records occur more frequently than high ones. Some of these cooling spots are well known; however, a surprising elliptical area in the Southern Ocean is observed as well. Similar analyses can be performed on other key climatological variables to explore their trend patterns.
We used record-breaking statistics together with spatial information to create record-breaking...
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